Michel Martin C, Staskin David
Department of Pharmacology, Johannes Gutenberg University, 55131 Mainz, Germany.
St. Elizabeth Medical Center, School of Medicine, Boston University, Boston, MA 02135, USA.
Biomedicines. 2022 Jan 26;10(2):270. doi: 10.3390/biomedicines10020270.
Combination treatment, i.e., the use of two or more drugs for the same condition, is frequent in medicine if monotherapy yields an insufficient therapeutic response. We review and challenge clinical study designs and formats of reporting outcomes for the evaluation of the benefit/risk ratio of combination treatment over monotherapy. We demonstrate that benefits of combination treatment at the group level overestimate the probability of benefit at the single patient level based on outcome simulations under almost any imaginable setting. Based on these findings, we propose that studies testing combination treatment should always report on percentages of responders to monotherapy and combination treatment. We provide equations that allow the calculation of the percentage of patients truly benefitting from combination (responders to both monotherapies) and that of patients exposed to risk of harm from adverse effects without a reasonable expectation of individual benefit. These considerations are explained based on real clinical data, mostly from the field of functional urology (male lower urinary tract symptoms).
联合治疗,即针对同一病症使用两种或更多种药物,在单药治疗疗效不足时在医学中很常见。我们回顾并质疑了用于评估联合治疗与单药治疗的获益/风险比的临床研究设计和结果报告形式。我们证明,基于几乎任何可想象情况下的结果模拟,联合治疗在群体水平上的益处高估了个体患者水平上获益的概率。基于这些发现,我们建议测试联合治疗的研究应始终报告单药治疗和联合治疗的应答者百分比。我们提供了一些方程式,可用于计算真正从联合治疗中获益的患者百分比(对两种单药治疗均有应答者)以及暴露于不良反应危害风险且无合理个体获益预期的患者百分比。这些考量基于真实临床数据进行解释,这些数据大多来自功能性泌尿外科学领域(男性下尿路症状)。